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So happy to reconnect at #RSNA2024 with fellow #RadInTraining DE Radiology. Thrilled to be part of this team💪🏻 Thank you Victoria Chernyak, MD MS FSAR FESGAR FACR Linda Moy for the opportunity and support! #radres want to know more about the program? Join us on 12/4 @ 3:30 pm in Residents Lounge!

Fungal infections on RSNA

Such fun breakfast with the RIT squad 😃☀️ Rad In Training Editor #RadInTraining #RSNA2024 Linda Moy Victoria Chernyak, MD MS FSAR FESGAR FACR Wanna know more ❓ ⏰Join us at 3:30 pm today in Resident Lounge for an interactive Q&A!

State-of-the-art #LLMs still struggle to interpret radiologic images on NEJM cases, trailing junior faculty—more details on this episode of #Radiology_in_a_minute. #RadInTraining shorturl.at/afEQN Radiology Victoria Chernyak, MD MS FSAR FESGAR FACR Rad In Training Editor Penn Radiology

rsna.org/news/2024/dece…

Breaking news: This meta-analysis suggests that Non contrast MR angiography is more specific than V/Q scintigraphy for the detection of PE, with comparable accuracy and sensitivity. MR protocol is less than 15 min!! More in: link.springer.com/article/10.100…

In a medical world gauged by productivity and by increasing workloads, can #GPT-4 support radiologists by proofreading radiology reports? Check it in this #Tweetorial! #RadInTraining pubs.rsna.org/doi/10.1148/ra… Linda Moy @RadiologyEditor Victoria Chernyak, MD MS FSAR FESGAR FACR Rad In Training Editor

2017 US LIRADS; A systematic review and meta-analysis. >90% screening exam was negative and had good image quality. #Radiology_in_a_minute #RadInTraining pubs.rsna.org/doi/10.1148/ra… Radiology Victoria Chernyak, MD MS FSAR FESGAR FACR Rad In Training Editor

form.typeform.com/to/Ywg2K1MC 🔥💻 OPPORTUNITY!!! ☢️🚨 Model Validation Expert Program Application The Handshake MOVE program bridges academic research and AI, providing thorough model validation to build trust in AI systems.

#ORADS v2022 boosts diagnostic confidence in ovarian lesion evaluation. The update supports more precise patient triage, reducing unnecessary interventions while ensuring timely diagnosis of malignancies. Learn more: doi.org/10.1148/radiol… pubs.rsna.org/doi/10.1148/ra… #RadInTraining

For patients with #osteomyelitis who cannot undergo #MRI, can #DECT (Dual Energy CT) be the solution? Check it in this #Tweetorial! #RadInTraining 👉pubs.rsna.org/doi/10.1148/ra… Linda Moy @RadiologyEditor Victoria Chernyak, MD MS FSAR FESGAR FACR Rad In Training Editor

Aloha ☢️🌴stepping outside the dungeon to watch Hawaiian sunset at SPR 2025! #PedsRad

This study explores how CT imaging can help predict regional lymph node metastases in patients with MSI-high colon cancer☢️🧬🦀 Read more: pubs.rsna.org/doi/10.1148/ra… Rad In Training Editor Victoria Chernyak, MD MS FSAR FESGAR FACR Linda Moy DANIELA HOCHHEGGER #Radiology #CancerResearch #ColorectalCancer #CT #MSI

1/8 Ever looked for a perfect teaching case or cases for a research project? New in Radiology: RadSearch, a semantic search model trained on >16K radiology reports, designed to retrieve relevant reports more accurately than standard methods doi.org/10.1148/radiol…

🚨New in @Radiology_RSNA In 17,646 patients, sarcopenia was detected on CT in 28.5% but coded in EHR in just 0.05%. Sarcopenic obesity? 5.7% vs. 0% CT+AI exposes major gaps in documentation. shorturl.at/u0iIb Rad In Training Editor Victoria Chernyak, MD MS FSAR FESGAR FACR Linda Moy Stanford Radiology Akshay Chaudhari

🚀 Large language models (LLMs) in #radiology can improve report generation, enhance clinical decision-making & streamline workflows. Let's explore how! 👇 #RadInTraining #Tweetorial Rad In Training Editor Victoria Chernyak, MD MS FSAR FESGAR FACR @RadiologyEditor pubs.rsna.org/doi/10.1148/ra…

Residents and fellows: Want to level up your career? Join the Radiology Trainee Editorial Board! Get peer review experience, connect with leaders, and shape the future of radiology. @rsna #Radiology Apply by Sunday, May 11 at 11:59 p.m. CT: rsna.org/education/trai…

Apply soon to join our spectacular #RadInTraining team! Learn, connect, advance, contribute and have a blast! Radiology RSNA @RadiologyEditor

RSNA is looking for qualified members to serve as peer reviewers for its leading journals. This is a great opportunity to contribute to the field, stay current with emerging science, and gain valuable academic experience. Learn more and get involved: bit.ly/3RL6Nhu

New AJR Expert Panel Review Published! Proud to share our collaborative work: This highlights the expanding role of lung MRI in clinical practice—from structural lesion characterization to dynamic airway and diaphragm assessment! ajronline.org/doi/abs/10.221…